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Ambiq®, a leading developer of extremely-minimal-power semiconductor options that produce a multifold rise in Vitality efficiency, is delighted to announce it's been named a recipient of your Singapore SME 500 Award 2023.
By pinpointing and removing contaminants before selection, facilities save seller contamination costs. They could increase signage and practice staff and customers to reduce the number of plastic luggage from the technique.
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IDC’s exploration highlights that getting a digital company needs a strategic target practical experience orchestration. By buying systems and procedures that enhance daily operations and interactions, companies can elevate their digital maturity and get noticed from the crowd.
The library is can be employed in two methods: the developer can pick one with the predefined optimized power configurations (defined listed here), or can specify their own like so:
for pictures. Every one of these models are active parts of study and we have been eager to see how they build during the upcoming!
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Examples: neuralSPOT incorporates quite a few power-optimized and power-instrumented examples illustrating the best way to use the above QFN chips libraries and tools. Ambiq's ModelZoo and MLPerfTiny repos have even more optimized reference examples.
The code is structured to break out how these features are initialized and applied - for example 'basic_mfcc.h' consists of the init config buildings needed to configure MFCC for this model.
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At Ambiq, we think that function is often meaningful. A location where you’re both equally encouraged and empowered being your authentic self. That’s why we cultivate a various, inclusive workplace, the place collaboration, innovation, and a enthusiasm for impactful change are classified as the cornerstones of everything we do.
Accelerating the Development of Optimized AI Features with Ambiq’s neuralSPOT
Ambiq’s neuralSPOT® is an open-source AI developer-focused SDK designed for our latest Apollo4 Plus system-on-chip (SoC) family. neuralSPOT provides an on-ramp to the rapid development of AI features for our customers’ AI applications and products. Included with neuralSPOT are Ambiq-optimized libraries, tools, and examples to help jumpstart AI-focused applications.
UNDERSTANDING NEURALSPOT VIA THE BASIC TENSORFLOW EXAMPLE
Often, the best way to ramp up on a new software library is through a comprehensive example – this is why neuralSPOt includes basic_tf_stub, an illustrative example that leverages many of neuralSPOT’s features.
In this article, we walk through the example block-by-block, using it as a guide to building AI features using neuralSPOT.
Ambiq's Vice President of Artificial Intelligence, Carlos Morales, went on CNBC Street Signs Asia to discuss the power consumption of AI and trends in endpoint devices.
Since 2010, Ambiq has been a leader in ultra-low power semiconductors that enable endpoint devices with more data-driven and AI-capable features while dropping the energy requirements up to 10X lower. They do this with the patented Subthreshold Power Optimized Technology (SPOT ®) platform.
Computer inferencing is complex, and for endpoint AI to become practical, these devices have to drop from megawatts of power to microwatts. This is where Ambiq has the power to change industries such as healthcare, agriculture, and Industrial IoT.
Ambiq Designs Low-Power for Next Gen Endpoint Devices
Ambiq’s VP of Architecture and Product Planning, Dan Cermak, joins the ipXchange team at CES to discuss how manufacturers can improve their products with ultra-low power. As technology becomes more sophisticated, energy consumption continues to grow. Here Dan outlines how Ambiq stays ahead of the curve by planning for energy requirements 5 years in advance.
Ambiq’s VP of Architecture and Product Planning at Smart watch for diabetics Embedded World 2024
Ambiq specializes in ultra-low-power SoC's designed to make intelligent battery-powered endpoint solutions a reality. These days, just about every endpoint device incorporates AI features, including anomaly detection, speech-driven user interfaces, audio event detection and classification, and health monitoring.
Ambiq's ultra low power, high-performance platforms are ideal for implementing this class of AI features, and we at Ambiq are dedicated to making implementation as easy as possible by offering open-source developer-centric toolkits, software libraries, and reference models to accelerate AI feature development.
NEURALSPOT - BECAUSE AI IS HARD ENOUGH
neuralSPOT is an AI developer-focused SDK in the true sense of the word: it includes everything you need to get your AI model onto Ambiq’s platform. You’ll find libraries for talking to sensors, managing SoC peripherals, and controlling power and memory configurations, along with tools for easily debugging your model from your laptop or PC, and examples that tie it all together.
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